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There are 4 Results with the keyword : "Associated team"

Hélène Kirchner, Director of International Relations © INRIA / Photo A.Eidelman  © Inria / Photo A.Eidelman

Collaborations with India

Inria strengthens its collaborations with India

Laurence Hermant - 23/10/2013

At the India-France Technology Summit in New Delhi, Inria will sign a memorandum of understanding with the Indian government's science and technology department (DST) to strengthen its joint programmes with local names from the digital world. Hélène Kirchner, Director of International Relations at Inria, explains the importance of these Franco-Indian programmes.

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Home > News > News from Inria > Inria renforce ses collaborations avec l'Inde

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© Folotia / Kamelecom

Machine Learning

Applying machine learning to education

16/12/2016

The Sequel project-team, which specializes in sequential machine learning, has been working for the last two years with scientists from Carnegie Mellon University in Pittsburgh, in a combined team known as Eduband. This team is investigating how machine learning can improve the new educational tools. But can an algorithm measure a student's interest and progress?

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Home > Centre > Lille > News > Appliquer le machine learning à l’éducation

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Paola Goatin Inria / Photo Y. Obrenovitch

Inria Awards 2014

Paola Goatin: Inria - French Académie des sciences Young Researcher Award

LH - 6/10/2014

Paola Goatin, a member of the Inria Opale project team, is a mathematician who conducts research with very practical applications to optimize road traffic and manage crowds. While she has sometimes wondered about the prospects that could offer her taste for mathematics, she has always followed her instincts. This has brought her a great deal of success, including the Inria – French Académie des sciences Young Researcher Award showing Paola Goatin that she has made the right choices.

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Home > Institute > Inria in brief > Prix Inria par année > 2014 Prize Winners > Paola Goatin : Prix jeune chercheur

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© Nature/Nigam Shah, Adrien Coulet

Health

Using Algorithms to adjust doses of medication

1/02/2019

Adrien Coulet, lecturer at the Université de Lorraine and researcher in a joint team at Inria and Loria working in collaboration with researchers from Stanford University, has created an algorithm based on medical data to predict the need to prescribe a reduced dose of medication for a patient rather than a standard dose. An article about their research has been published in "Nature - Scientific Reports".

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Home > Centre > Nancy > News > Des algorithmes d’apprentissage automatique pour réduire les doses de médicament

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